Vicente Morell
Papers
13
Total Citations
389
H-Index
9
About
Vicente Morell is a leading researcher in robotics and computer vision, specializing in 3D point cloud processing, human-robot interaction, and semantic localization. His major contributions include pioneering noise removal and downsampling techniques for 3D sensor data using growing neural gas, enabling robust keypoint detection and feature extraction for mobile robotics. He also advanced point cloud compression and registration methods for RGB-D video, critical for mapping and virtual reconstruction. Morell’s work on human pose detection has enhanced safety and biomarker evaluation in robotic-assisted rehabilitation, while his ARMIA wearable device offers affordable telerehabilitation solutions. His high-impact papers, such as the ImageCLEF 2014 overview (101 citations) and geometric point cloud compression (72 citations), demonstrate his influence. He also created the ViDRILO dataset, a key resource for semantic indoor localization. With over 370 total citations, Morell’s research bridges theoretical algorithms and practical robotic systems, making him a pivotal figure in advancing autonomous navigation and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1ImageCLEF 2014: Overview and Analysis of the Results101 citations · 2014
- 2Geometric 3D point cloud compression72 citations · 2014
- 3Point cloud data filtering and downsampling using growing neural gas45 citations · 2013
- 4Human Pose Detection for Robotic-Assisted and Rehabilitation Environments43 citations · 2021
- 5A Comparative Study of Registration Methods for RGB-D Video of Static Scenes32 citations · 2014
- 6
- 7Semantic localization in the PCL library23 citations · 2015
- 8ARMIA: A Sensorized Arm Wearable for Motor Rehabilitation13 citations · 2022
- 9Improving 3D Keypoint Detection from Noisy Data Using Growing Neural Gas11 citations · 2013
- 10